| Autor: |
Lumbres, Roscinto IanC., Jin Lee, Young, Calora, FelicianoG., Parao, MarissaR. |
| Zdroj: |
Forest Science and Technology; March 2013, Vol. 9 Issue: 1 p45-50, 6p |
| Abstrakt: |
This study was conducted to develop tree height–diameter at breast height (DBH) models for Pinus kesiyaRoyle ex Gordon (Benguet pine) in Benguet Province, Philippines, using six commonly used nonlinear growth models. A total of 1809 total height and DBH measurements were used and randomly split into two datasets. The majority of the measurements (80%) were used for initial parameter estimation of the six models, whereas the remaining 20% were applied to validate the models. The combined data (100%) were used for the final model fitting. Mean difference (MD) for each DBH class (10 cm interval) and the overall MD were determined for model validation. Results of the validation showed that the Modified Logistic model had the best overall MD with −0.15300 m, whereas the Schnute model had the highest prediction error with −0.17000 m. The performance of the developed models was evaluated and ranked using the coefficient of determination (R2), root mean square error (RMSE), MD, absolute mean difference (AMD) and Furnival index (FI). Based on this evaluation, all six models were able to determine the height–DBH relationship and fitted the data well, but the Modified Logistic and Exponential growth models had the best performance evaluation results. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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